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GPT-4o (2024-05-13) vs o3 Mini

o3 Mini leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 12.5 to 7.3, and o3 Mini costs 3.4x less per output token ($4.40 vs $15.00 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Replace GPT-4o (2024-05-13) Replace o3 Mini
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
3
o3 MiniOpenAI
Coding
No data
Overall
38.0
Output $/M
$4.40
34
vs boards won of 37 shared

GPT-4o (2024-05-13) or o3 Mini: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4o (2024-05-13) for work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo3 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
GPT-4o (2024-05-13) only
7
o3 Mini only
34
Like-for-like categories
6 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-4o (2024-05-13) not benchmarked, o3 Mini not benchmarked.
Widest category
Math, 38.4 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4o (2024-05-13) 6.3% against o3 Mini 76.9%, 70.7 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-05-13) $15.00 against o3 Mini $4.40 per million output tokens, 3.4x apart.
Context window
GPT-4o (2024-05-13) takes 128K tokens, o3 Mini 200K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-4o (2024-05-13)Barso3 MiniTies
Coding03
Intelligence01
Reasoning07
Math04
Knowledge05
General314
All shared boards334
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4o (2024-05-13) and o3 Mini
BenchmarkGPT-4o (2024-05-13)o3 MiniLeader
Aider polyglotNot measured60.4%Only o3 Mini measured
SWE-bench VerifiedNot measured42.4%Only o3 Mini measured
SWE-bench LiteNot measured32.3%Only o3 Mini measured
AA Coding Index24.2Not measuredOnly GPT-4o (2024-05-13) measured
LiveCodeBench (Vals AI)Not measured71.5%Only o3 Mini measured
LiveCodeBench (Artificial Analysis run)33.4%73.4%o3 Mini
SciCodeNot measured42.8%Only o3 Mini measured
Terminal-Bench Hard (Artificial Analysis run)Not measured6.8%Only o3 Mini measured
GSO-BenchNot measured1.3%Only o3 Mini measured
WeirdMLNot measured43.7%Only o3 Mini measured
CybenchNot measured22.5%Only o3 Mini measured
LMArena Text: coding12971378o3 Mini
LMArena Text: software and IT12971364o3 Mini
SciCodeNot measured7.7%Only o3 Mini measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-05-13) and o3 Mini
BenchmarkGPT-4o (2024-05-13)o3 MiniLeader
AA Intelligence Index7.312.5o3 Mini
Epoch Capabilities IndexNot measured140.2Only o3 Mini measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for GPT-4o (2024-05-13) and o3 Mini
BenchmarkGPT-4o (2024-05-13)o3 MiniLeader
τ²-Bench TelecomNot measured31.3%Only o3 Mini measured
METR time horizons40.8%Not measuredOnly GPT-4o (2024-05-13) measured
BALROG32.3%Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for GPT-4o (2024-05-13) and o3 Mini
BenchmarkGPT-4o (2024-05-13)o3 MiniLeader
GPQA Diamond50.2%75.5%o3 Mini
GPQA Diamond (Artificial Analysis run)52.6%77.3%o3 Mini
Humanity's Last Exam (Artificial Analysis run)1.8%12.0%o3 Mini
GPQA Diamond (Epoch AI run)48.9%77.0%o3 Mini
ARC-AGINot measured34.5%Only o3 Mini measured
ARC-AGI-2Not measured3.0%Only o3 Mini measured
SimpleBenchNot measured22.8%Only o3 Mini measured
Chess puzzlesNot measured15.0%Only o3 Mini measured
Mystery game puzzlesNot measured7.0%Only o3 Mini measured
LMArena Text: hard prompts12811365o3 Mini
LMArena Text: expert12501364o3 Mini
LMArena Text: hard prompts in English12931375o3 Mini
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4o (2024-05-13) and o3 Mini
BenchmarkGPT-4o (2024-05-13)o3 MiniLeader
AIMENot measured86.5%Only o3 Mini measured
MATH 500 (Vals AI)Not measured91.8%Only o3 Mini measured
MGSM (Vals AI)Not measured91.3%Only o3 Mini measured
OTIS Mock AIME6.3%76.9%o3 Mini
FrontierMath, tiers 1 to 3Not measured18.6%Only o3 Mini measured
FrontierMath, tier 4Not measured0.0%Only o3 Mini measured
MATH level 551.0%96.5%o3 Mini
LMArena Text: math12841396o3 Mini
LMArena Text: mathematical work12841399o3 Mini
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4o (2024-05-13) and o3 Mini
BenchmarkGPT-4o (2024-05-13)o3 MiniLeader
MMLU ProNot measured78.7%Only o3 Mini measured
LegalBench (Vals AI)Not measured71.5%Only o3 Mini measured
CorpFin (Vals AI)Not measured45.3%Only o3 Mini measured
TaxEval (Vals AI)Not measured69.4%Only o3 Mini measured
MedQA (Vals AI)Not measured94.8%Only o3 Mini measured
MMLU Pro (Artificial Analysis run)74.0%80.2%o3 Mini
SimpleQA VerifiedNot measured15.3%Only o3 Mini measured
MMLU84.2%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: science12951339o3 Mini
LMArena Text: medicine and healthcare12781330o3 Mini
LMArena Text: legal and government13141328o3 Mini
LMArena Text: business and finance12621313o3 Mini
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4o (2024-05-13) and o3 Mini
BenchmarkGPT-4o (2024-05-13)o3 MiniLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index314
General benchmarks for GPT-4o (2024-05-13) and o3 Mini
BenchmarkGPT-4o (2024-05-13)o3 MiniLeader
IFBenchNot measured67.1%Only o3 Mini measured
Long context reasoning (AA-LCR)Not measured43.0%Only o3 Mini measured
DTBenchNot measured68.8%Only o3 Mini measured
LMCANot measured19.0%Only o3 Mini measured
Fiction.LiveBenchNot measured50.0%Only o3 Mini measured
Creative writing (Lech Mazur)Not measured61.7%Only o3 Mini measured
LMArena Text13001337o3 Mini
LMArena Text: instruction following12781337o3 Mini
LMArena Text: creative writing12911286GPT-4o (2024-05-13)
LMArena Vision1137Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: English13121351o3 Mini
LMArena Text: non-English12831319o3 Mini
LMArena Text: Chinese12771379o3 Mini
LMArena Text: German12831303o3 Mini
LMArena Text: Japanese12571286o3 Mini
LMArena Text: Korean12341313o3 Mini
LMArena Text: French13041334o3 Mini
LMArena Text: Spanish12921321o3 Mini
LMArena Text: Russian12851304o3 Mini
LMArena Text: Polish13651294GPT-4o (2024-05-13)
LMArena Text: multi-turn13021320o3 Mini
LMArena Text: longer queries12881343o3 Mini
LMArena Text: writing and language12981313o3 Mini
LMArena Text: entertainment and media12891283GPT-4o (2024-05-13)
LMArena Vision: English1147Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Vision: Chinese1132Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-05-13) and o3 Mini
BenchmarkGPT-4o (2024-05-13)o3 MiniLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-4o (2024-05-13)$0.013Fits in one request
o3 Mini$0.0033Fits in one request

o3 Mini costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-05-13)$0.295Fits in one request
o3 Mini$0.068Fits in one request

o3 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-05-13)$1.15Exceeds the context window
o3 Mini$0.264Exceeds the context window

o3 Mini costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-4o (2024-05-13) and o3 Mini
SpecificationOpenAI GPT-4o (2024-05-13)OpenAI o3 Mini
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 13, 2024January 31, 2025
Context window128K200K
Input $/Mtok$5.00$1.10
Output $/Mtok$15.00$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-05-13) better than o3 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-05-13) for work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, GPT-4o (2024-05-13) or o3 Mini?

GPT-4o (2024-05-13) costs $5.00 per million input tokens and $15.00 per million output tokens; o3 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-05-13) or o3 Mini?

o3 Mini, with 200K tokens against 128K.

How many benchmarks is the GPT-4o (2024-05-13) vs o3 Mini comparison based on?

37 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-05-13)'s coding index rests on 0 independent benchmarks and o3 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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